dtlpymcp 0.1.8

STDIO MCP proxy server for Dataloop platform.

Dataloop MCP Proxy Server

This is the main proxy for the Dataloop Micro MCPs, installable as a Python package.

Installation

pip install git+<repository-url>

Usage

You can run the proxy server via CLI:

# Basic usage
dtlpymcp start

# With custom sources file
dtlpymcp start --sources-file /path/to/sources.json

# With custom initialization timeout (default: 30 seconds)
dtlpymcp start --init-timeout 60.0

Or using Python module syntax:

python -m dtlpymcp start

Local Development

• Requires Python 3.10+
• Install dependencies with pip install -e .
• Run tests with pytest

Architecture

The server uses a modular architecture with utilities for safe async initialization:

• dtlpymcp/proxy.py - Main server implementation using FastMCP
• dtlpymcp/utils/server_utils.py - Safe async initialization utilities
• dtlpymcp/utils/dtlpy_context.py - Dataloop context management

Cursor MCP Integration

To add this MCP to Cursor, add the following to your configuration:

Docker Example

{
  "mcpServers": {
    "dataloop-ai-mcp": {
      "command": "docker run -i --rm -e DATALOOP_API_KEY docker.io/dataloopai/mcp:latest",
      "env": {
        "DATALOOP_API_KEY": "API KEY"
      }
    }
  }
}

Local CLI Example

{
  "mcpServers": {
    "dataloop-ai-mcp": {
      "command": "uvx",
      "args": ["dtlpymcp", "start"],
      "env": {
        "DATALOOP_ENV": "prod",
        "DATALOOP_API_KEY": "API KEY"
      }
    }
  }
}

Replace API KEY with your actual Dataloop API key.